AigentHub
publicpublishedPaid · €69

SaaS Product Department

Turn a software idea into a validated product system: user and market evidence, problem framing, product thesis, jobs and workflows, scope and non-goals, experience architecture, testable requirements, metrics and feasibility, coordinated as one product team. Every capability ships with its own execution playbook. The department produces product decisions and human-approved handoffs to design, specification and delivery; it never implements, deploys or promises product-market fit.

by@aigenthub
ProductivityOperationsAnalyticsDataResearchDeveloper Tools
Log in to purchase · €69
This is a paid organization. The full agents, skills, tools, rules and workflow — and the ready-to-run prompt and JSON — unlock after purchase.

What it does

  • Every capability ships with its own execution playbook.
  • The department produces product decisions and human-approved handoffs to design, specification and delivery; it never implements, deploys or promises product-market fit.

Give it

  • The task you want the team to work on, in your own words.
  • The documents, data, files or context the work depends on.
  • Any constraint, policy or boundary the team must respect.
  • The full list unlocks with the organization.

Get back

  • The artifacts of a 20-step workflow run by 10 specialist agents.
  • Decisions, drafts and handoffs you review before anything leaves your hands.
  • The full list unlocks with the organization.
AigentHub AI

Understand this AI team in seconds

Get a simple explanation, see a practical example or learn exactly what to provide.

Sign in to use AigentHub AI

Turn a software idea into a validated product system: user and market evidence, problem framing, product thesis, jobs and workflows, scope and non-goals, experience architecture, testable requirements, metrics and feasibility, coordinated as one product team. Every capability ships with its own execution playbook. The department produces product decisions and human-approved handoffs to design, specification and delivery; it never implements, deploys or promises product-market fit.

Meet the team

What is an agent?
1Workflow & Jobs Architect — jobs, actors and workflows before features

Full role instructions unlock after purchase.

2Product Director — intake, mode, governance and the final product dossier

Full role instructions unlock after purchase.

3Product Quality & Decision Reviewer — independent verifier; can block

Full role instructions unlock after purchase.

4Product Analytics & Experimentation Lead — metrics, events, controlled tests

Full role instructions unlock after purchase.

5Technical Feasibility & Delivery Planner — unknowns, ranges, handoffs

Full role instructions unlock after purchase.

6Product Strategy Lead — thesis, target user, value; can say do not build

Full role instructions unlock after purchase.

7Monetization & Product Economics Strategist — value metric and packaging

Full role instructions unlock after purchase.

8Scope & Requirements Strategist — MVP, non-goals, testable requirements

Full role instructions unlock after purchase.

9Product Experience & UX Architect — structure and states, never visual design

Full role instructions unlock after purchase.

10User & Market Evidence Researcher — evidence only; never invents a user

Full role instructions unlock after purchase.

Unlock the complete organization

Purchase once to unlock the complete agent team, operating instructions, skills, tools, rules, workflow, runtime-ready prompt and portable JSON.

Log in to purchase · €69

What unlocks after purchase

Agents10 Unlock full details
Skills19 Unlock full details
Tools5 Unlock full details
Operating rules30 Unlock full details
Workflow20 Unlock full details

Before you run this team

What you need
  • An AI workspace you already use — ChatGPT, Claude, Claude Code, Codex, Antigravity or another advanced AI workspace.
  • Model access and usage handled by that workspace: AigentHub provides the team structure and operating instructions, not the model.
  • The task and the material the team should work from, ready to paste or attach.
  • Optional: 5 tools this team can use — only when your workspace actually provides them.
  • A person to review the result: the team proposes and drafts, you decide.
Not sure what that means?
AI workspace
What it does not include
  • No AI model, tokens or subscription — your AI workspace provides those.
  • No hosted execution: AigentHub prepares the team, your workspace runs it.
  • No automatic integrations and no credentials of any kind.
  • No background monitoring, scheduled runs or unattended work.
  • No external or irreversible action without a tool your workspace really provides and, where required, your approval.
How it works
  1. 1Choose the team.
  2. 2Provide the task and the evidence it needs.
  3. 3Run the prepared instructions in your AI workspace.
  4. 4Review the team's final output and decide what happens next.

The AI workspace provides the model and execution environment. AigentHub provides the team structure and operating instructions.

Where you can run it
Simple AI chatChatGPTClaude

Best for: Documents and analysis · Strategy and decisions · Writing and structured reviews · Shorter workflows

Advanced AI workspaceClaude CodeCodexAntigravityGeneric AI workspace

Best for: Large files and code · Long, multi-step workflows · Real tool use · Iterative execution and the complete Runtime Handoff

Example

Example only

“Turn a software idea into a validated product system: user and market evidence, problem framing, product thesis, jobs and workflows, scope and non-goals, experience architecture, testable requirements, metrics and feasibility, coordinated as one product team.”

You would get back:
  • The declared artifacts of its 20-step workflow.
  • Every customer-facing or external action left for you to approve.
View full example
…and you would attach:
  • The task you want the team to work on, in your own words.
  • The documents, data, files or context the work depends on.
  • Any constraint, policy or boundary the team must respect.

SaaS Product Department would then work through its workflow and hand you the artifacts above.

Illustrative example, built from what this organization states publicly. Nothing has been run here — your AI workspace produces the actual result.

Before you start

How you would use this

What you provide

  • The task you want the team to work on, in your own words.
  • The documents, data, files or context the work depends on.
  • Any constraint, policy or boundary the team must respect.
  • The full list unlocks with the organization.

What you receive

  • The artifacts of a 20-step workflow run by 10 specialist agents.
  • Decisions, drafts and handoffs you review before anything leaves your hands.
  • The full list unlocks with the organization.

Who does the work

Workflow & Jobs Architect — jobs, actors and workflows before featuresProduct Director — intake, mode, governance and the final product dossierProduct Quality & Decision Reviewer — independent verifier; can blockProduct Analytics & Experimentation Lead — metrics, events, controlled testsTechnical Feasibility & Delivery Planner — unknowns, ranges, handoffsProduct Strategy Lead — thesis, target user, value; can say do not build
Showing 6 of 10 agents.

What happens

The workflow runs through 20 steps. What each one does unlocks with the organization.

Tools or accounts you need

It declares 5 tools. The details unlock with the organization.

An example run

Illustration
You ask

Turn a software idea into a validated product system: user and market evidence, problem framing, product thesis, jobs and workflows, scope and non-goals, experience architecture, testable requirements, metrics and feasibility, coordinated as one product team.

  • The task you want the team to work on, in your own words.
  • The documents, data, files or context the work depends on.
  • Any constraint, policy or boundary the team must respect.
You get back
  • The declared artifacts of its 20-step workflow.
  • Every customer-facing or external action left for you to approve.

Illustrative example, built from what this organization states publicly. Nothing has been run here — your AI workspace produces the actual result.

Runtime handoff

A ready-to-run handoff is produced once you have access. It contains the full content, so it is not shown in the preview.

What this does not do

  • No AI model, tokens or subscription — your AI workspace provides those.
  • No hosted execution: AigentHub prepares the team, your workspace runs it.
  • No automatic integrations and no credentials of any kind.
  • No background monitoring, scheduled runs or unattended work.
  • No external or irreversible action without a tool your workspace really provides and, where required, your approval.